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09/12/2022
Model interpretation using improved local regression with variable importance
A fundamental question on the use of ML models concerns the explanation ...
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05/30/2022
Continual Object Detection: A review of definitions, strategies, and challenges
The field of Continual Learning investigates the ability to learn consec...
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10/22/2021
Forecasting Financial Market Structure from Network Features using Machine Learning
We propose a model that forecasts market correlation structure from link...
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09/16/2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)
This paper presents an experimental comparison among four Automated Mach...
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09/12/2020
MeLIME: Meaningful Local Explanation for Machine Learning Models
Most state-of-the-art machine learning algorithms induce black-box model...
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08/09/2019
Reconstructing commuters network using machine learning and urban indicators
Human mobility has a significant impact on several layers of society, fr...
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07/31/2019
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space
As machine learning becomes an important part of many real world applica...
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10/25/2018
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition
Human activity recognition (HAR) is a classification task that aims to c...
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09/17/2018
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations
Algorithm selection using Metalearning aims to find mappings between pro...
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08/30/2018
Towards Reproducible Empirical Research in Meta-Learning
Meta-learning is increasingly used to support the recommendation of mach...
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07/23/2018
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets
To select the best algorithm for a new problem is an expensive and diffi...
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03/06/2018